Grammarly disables ’Expert Review’ AI after authors, journalists object
Grammarly has disabled its Expert Review AI feature following widespread criticism from academics, authors and journalists who said the tool imitated named experts — including deceased scholars — without consent. Launched as part of Grammarly’s AI agents expansion, Expert Review generated feedback framed as if coming from specific scholars, journalists and editors. Critics condemned Grammarly’s prior opt-out approach, which required experts to manually remove themselves, calling it unacceptable. Superhuman CEO Shishir Mehrotra (Grammarly’s parent company) and Grammarly product director Ailian Gan said the company will redesign the feature to give experts greater control and transparency. The company acknowledged it "missed the mark" and committed to reworking the tool. The announcement follows online backlash, public posts from prominent writers and editors, and calls for stronger consent and attribution practices in AI products.
Neutral
This story concerns product governance and reputational risk for an AI software provider rather than any direct crypto- or market-moving technology. Grammarly’s decision to disable and redesign Expert Review is likely to have minimal to no direct effect on cryptocurrency prices, liquidity, or blockchain projects. Traders focused on crypto markets should view this as a reputational and regulatory signal in the broader tech/AI sector: it underscores growing pushback against AI products that appropriate human authorship without consent. In the short term, market impact on crypto is negligible — the announcement does not affect major exchanges, stablecoins, on-chain protocols or token fundamentals. In the medium to long term, increased scrutiny of AI governance could influence investor sentiment toward AI-focused crypto projects or tokens linked to AI services, but any effect would be indirect and likely small compared with macro factors (rates, regulation, on-chain activity). Historical parallels: controversies over AI image-generation models or LLM training data have generated regulatory attention and some litigation, causing reputational hit to vendors but limited persistent market contagion. For crypto traders, the practical takeaway is to monitor regulatory and litigation headlines in AI as part of broader risk-on/risk-off flows, but this specific event is neutral to crypto market stability and trading decisions.